Read in Data

spills <- read_sf(here( "Oil_Spill_Incident_Tracking"), layer = "Oil_Spill_Incident_Tracking_%5Bds394%5D") %>% 
  clean_names()

st_crs(spills)
## Coordinate Reference System:
##   User input: WGS 84 / Pseudo-Mercator 
##   wkt:
## PROJCRS["WGS 84 / Pseudo-Mercator",
##     BASEGEOGCRS["WGS 84",
##         DATUM["World Geodetic System 1984",
##             ELLIPSOID["WGS 84",6378137,298.257223563,
##                 LENGTHUNIT["metre",1]]],
##         PRIMEM["Greenwich",0,
##             ANGLEUNIT["degree",0.0174532925199433]],
##         ID["EPSG",4326]],
##     CONVERSION["Popular Visualisation Pseudo-Mercator",
##         METHOD["Popular Visualisation Pseudo Mercator",
##             ID["EPSG",1024]],
##         PARAMETER["Latitude of natural origin",0,
##             ANGLEUNIT["degree",0.0174532925199433],
##             ID["EPSG",8801]],
##         PARAMETER["Longitude of natural origin",0,
##             ANGLEUNIT["degree",0.0174532925199433],
##             ID["EPSG",8802]],
##         PARAMETER["False easting",0,
##             LENGTHUNIT["metre",1],
##             ID["EPSG",8806]],
##         PARAMETER["False northing",0,
##             LENGTHUNIT["metre",1],
##             ID["EPSG",8807]]],
##     CS[Cartesian,2],
##         AXIS["easting (X)",east,
##             ORDER[1],
##             LENGTHUNIT["metre",1]],
##         AXIS["northing (Y)",north,
##             ORDER[2],
##             LENGTHUNIT["metre",1]],
##     USAGE[
##         SCOPE["unknown"],
##         AREA["World - 85°S to 85°N"],
##         BBOX[-85.06,-180,85.06,180]],
##     ID["EPSG",3857]]
# Read in the CA county data (TIGER shapefile):
ca_counties <- read_sf(here("ca_counties","CA_Counties_TIGER2016.shp")) %>% 
  clean_names() %>% 
  select(name, aland) %>% 
  rename(county_name = name, land_area = aland)

st_crs(ca_counties)
## Coordinate Reference System:
##   User input: WGS 84 / Pseudo-Mercator 
##   wkt:
## PROJCRS["WGS 84 / Pseudo-Mercator",
##     BASEGEOGCRS["WGS 84",
##         DATUM["World Geodetic System 1984",
##             ELLIPSOID["WGS 84",6378137,298.257223563,
##                 LENGTHUNIT["metre",1]]],
##         PRIMEM["Greenwich",0,
##             ANGLEUNIT["degree",0.0174532925199433]],
##         ID["EPSG",4326]],
##     CONVERSION["Popular Visualisation Pseudo-Mercator",
##         METHOD["Popular Visualisation Pseudo Mercator",
##             ID["EPSG",1024]],
##         PARAMETER["Latitude of natural origin",0,
##             ANGLEUNIT["degree",0.0174532925199433],
##             ID["EPSG",8801]],
##         PARAMETER["Longitude of natural origin",0,
##             ANGLEUNIT["degree",0.0174532925199433],
##             ID["EPSG",8802]],
##         PARAMETER["False easting",0,
##             LENGTHUNIT["metre",1],
##             ID["EPSG",8806]],
##         PARAMETER["False northing",0,
##             LENGTHUNIT["metre",1],
##             ID["EPSG",8807]]],
##     CS[Cartesian,2],
##         AXIS["easting (X)",east,
##             ORDER[1],
##             LENGTHUNIT["metre",1]],
##         AXIS["northing (Y)",north,
##             ORDER[2],
##             LENGTHUNIT["metre",1]],
##     USAGE[
##         SCOPE["unknown"],
##         AREA["World - 85°S to 85°N"],
##         BBOX[-85.06,-180,85.06,180]],
##     ID["EPSG",3857]]
ggplot() +
  geom_sf(data = ca_counties) +
  geom_sf(data = spills, size = 1, color = "purple")

tmap_mode(mode = "view")
## tmap mode set to interactive viewing
tm_shape(ca_counties) +
  tm_fill("land_area") +
  tm_shape(spills) +
  tm_dots()
spills_counties <- ca_counties %>% 
  st_join(spills)

spills_counts <- spills_counties %>% 
  count(county_name)

ggplot(data = spills_counts) +
  geom_sf(aes(fill = n), color = "white", size = 0.1) +
  scale_fill_gradientn(colors = c("ivory3", "tomato3", "salmon4")) +
  theme_minimal() 

  labs(fill = "Number of Oil Spills")
## $fill
## [1] "Number of Oil Spills"
## 
## attr(,"class")
## [1] "labels"